US 12,032,091 B2
Signal detection and denoising systems
Babak Hassibi, San Marino, CA (US); and Behrooz Rezvani, Petaluma, CA (US)
Assigned to Neural Propulsion Systems, Inc., Pleasanton, CA (US)
Filed by Neural Propulsion Systems, Inc., Pleasanton, CA (US)
Filed on Feb. 25, 2023, as Appl. No. 18/174,612.
Application 18/174,612 is a division of application No. 17/120,127, filed on Dec. 12, 2020, granted, now 11,592,521.
Application 17/120,127 is a continuation of application No. 16/569,011, filed on Sep. 12, 2019, granted, now 10,866,304, issued on Dec. 15, 2020.
Claims priority of provisional application 62/730,405, filed on Sep. 12, 2018.
Prior Publication US 2023/0333206 A1, Oct. 19, 2023
Int. Cl. G01S 7/292 (2006.01); G01S 7/295 (2006.01); G01S 7/35 (2006.01)
CPC G01S 7/2921 (2013.01) [G01S 7/295 (2013.01); G01S 7/354 (2013.01)] 34 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one sensor for receiving at least one echo signal off of at least one target, the at least one echo signal being a result of a transmitted signal reflecting off of the at least one target;
at least one analog-to-digital converter (ADC) coupled to the at least one sensor and configured to generate samples of the at least one echo signal; and
at least one processor configured to execute at least one machine-executable instruction that, when executed, causes the at least one processor to:
using at least a portion of the samples of the at least one echo signal, perform an optimization procedure to estimate at least one of a respective Doppler frequency, a respective velocity, a respective speed, or a respective direction of motion for one or more targets of the at least one target, wherein the optimization procedure comprises optimizing an atomic norm.